This is a portfolio that Yuanzhao Wang might assemble to demonstrate the skills he has developed in VIS 2128. Noted, this page uses RMarkdown from RStudio, demonstrating skills mostly in the R programming language.
This portfolio demonstrates each of the following skills developed in VIS 2128:
Here is one maps of Boston. This map demonstrates the following skills: * Displaying multiple vector layers on the same map
This map attempts to depict parks as dangerous locations at night, while recognizing park lights as safe elements. The black base map depicts the nighttime environment, while the yellow circle park lights represent the ranges of light. Using a hollow circle rather than a solid circle could help identify the density of park lighting. However, the red symbol of open space could be misleading.
Here are three maps of Manhattan, New York. These maps demonstrate the following skills: * Displaying multiple vector layers on the same map. * Georeferencing a raster image
This map overlies the boundary of contemporary Manhattan on a historic map of Manhattan in 1853, revealing a history of landfilling, dredging, adding piers, and otherwise altering the borough’s coastline.
By also adding the public parks and open space in Manhattan and Brooklyn, we see both continuity and change. Washington Square and Tompkins Parks remain, while new public spaces like East River and Brooklyn Bridge Parks have been designed in accordance with explicit resilience goals.
Beginning from the southern tip, which was first settled, and moving uptown - influenced the development of the subway system: The southern points enjoy intense subway coverage, while parts of the East Village and Gramercy are still distant from subway stations today. It’s also reflected in the concentration of sites listed by the Landmarks Preservation Council (LPC) in Lower Manhattan.
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Here are few maps of Jiaxing, China. These maps demonstrate the following skills: * Displaying multiple vector layers on the same map * Calculating and displaying relationships among point and polygon layers based on distance * Aggregating point data to a layer of polygons * Calculating and displaying accessibility, based on travel time * Converting between raster layers and vector layers * Displaying raster data on a map * Displaying data on an interactive map
This map identifies the townships that contain at least one green space in Jiaxing.
Accessibility to greenspace is considered as one fundemental factor of residential happiness, which benefits individual’s mental and physichal health. This map illustrates the location of green space within Jiaxing city, and the overall walk travel time to greenspace in the city.
Different from the isochrones map regarding nearest green space, this map depicts the scores of walking accessibility to green space in Jiaxing. As indicated, the urban space with the greatest accessibility to green space is found in the center of the city, where the network density is quite high. It’s interesting to note that the dense network area on the upper left has a limited amount of green space.
This map stratifies the level of walking accessibility to green space in Jiaxing. The number and area of greenspaces in Jiaxing are limited, as illustrated, and there is a lot of void outside the contours, indicating insufficient access to greenspaces for urban residents